美國休斯頓大學(xué)2025年招聘博士后職位（網(wǎng)絡(luò)物理系統(tǒng)安全和隱私）

休 斯敦大學(xué)（University of Houston），簡稱UH，屬于研究型大學(xué)。該校學(xué)科涵蓋以下領(lǐng)域：自然科學(xué)、經(jīng)濟(jì)、法律、工程學(xué)、管理學(xué)、環(huán)境、建筑、教育、旅游、農(nóng)林、藝術(shù)、體 育、新聞傳播、信息科學(xué)、醫(yī)學(xué)、語言等。休斯敦大學(xué)是美國得克薩斯州休斯敦的公立大學(xué)，位于休斯敦市中心東南區(qū)。在1927年3月7日創(chuàng)立，擁有近 44000名學(xué)生，是得克薩斯州的第三大學(xué)府。卡內(nèi)基學(xué)術(shù)基金會將UH評為“具有最高研究活動的博士學(xué)位授予機(jī)構(gòu)”。2021年QS美國大學(xué)排名中排名第 66位。

Postdoctoral Research Associate: Cyber-Physical Systems Security and Privacy (Computer Science, Computer Engineering)

University of Houston

Job Description

The University of Houston’s Smart Systems Security (SSS) Lab, within the Department of

Information Science Technology (IST) at the Cullen College of Engineering, is seeking

motivated and talented researcher to join our team. Our lab focuses on

addressing critical security challenges for cyber-physical systems (CPS), Internet of Things

(IoT) devices, autonomous systems, and other emerging smart technologies. We protect

smart systems by developing novel techniques for usable authentication, privacy

preservation, and resilience in the face of sophisticated cyberattacks. For further

information, please visit: https://uhssslab.com

The selected candidate will lead an exciting project focused on security and privacy in

Telepresence Systems, including VR, MR, and XR technologies. This project focuses on

integrating sensor data authenticate users and verify the authenticity of surrounding

information in virtual and augmented reality environments. Ideal candidate will:

• Develop and implement methods for real-time user authentication in telepresence

systems using various teleinteraction device sensors.

• Design and evaluate techniques for verifying the authenticity of surrounding

environmental information in virtual reality settings.

• Employ advanced security technologies such as homomorphic encryption and zeroknowledge proofs to protect personal data.

• Create solutions for real-time detection of model tampering, including mechanisms

for identifying and preventing personal data exposure.

• Publish research findings in high-impact journals and present at relevant

conferences.

Ideal candidate should possess, understand, and apply a comprehensive knowledge in

area of specialization. Develops understanding and skills to allow for completion of

assignments that cross fields of specialization. Develops leadership and management

skills.

1. Receives/Reviews progress and evaluates results of experiments or projects under

control or supervisory responsibility.

2. Recommends changes in research, testing or experimental procedures.

3. May be responsible for a single highly technical and complex piece of research

equipment.

4. May review and evaluate the effectiveness of personnel.

5. May plan for and assign personnel to projects under control.

6. Operates with latitude for unreviewed action.

7. May receive general supervision conferring with higher levels only in unusual

situations.

8. Performs other job-related duties as required.

Preferred Qualifications

1. Ph.D. in Computer Science, Computer Engineering, or related fields

2. Prior research experiences related to one or more of the following areas: embedded

or mobile device security, embedded systems applications, machine learning

security, user-centric security and privacy.

3. Experience and proficiency in the following areas: programming languages (C, C++,

Python), embedded systems prototyping, data analytics, signal processing,

academic writing

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